Automating Overfitting
The discussion delves into the complexities of addressing overfitting during the training process. It raises the intriguing question of whether this aspect can be automated or if it requires hands-on supervision from researchers. Insights into the balance between automation and manual intervention highlight the challenges faced in machine learning practices.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Dynamic Visual Localization and Segmentation with Laura Leal-Taixé -TWiML Talk #168
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